Evidence map›Paper›PMID 32039815›Full record

ArticleJMIR medical informatics2020

Evaluating the Applications of Health Information Technologies in China During the Past 11 Years: Consecutive Survey Data Analysis.

Jun Liang, Ying Li, Zhongan Zhang, Dongxia Shen, Jie Xu, Gang Yu, Siqi Dai, Fangmin Ge, Jianbo Lei

Abstract read
In one paragraph

Article in JMIR medical informatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Jun LiangIT Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-0551-6706
Ying LiDepartment of Burn and Plastic Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.ORCID https://orcid.org/0000-0002-1143-1258
Zhongan ZhangPerformance Management Department, Qingdao Central Hospital, Qingdao, China.ORCID https://orcid.org/0000-0002-1644-5253
Dongxia ShenEditorial Department of Journal of Practical Oncology, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-1788-2655
Jie XuIT Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-3264-0187
Gang YuIT Center, Children's Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0001-9935-9969
Siqi DaiSchool of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-5729-6768
Fangmin GeInternational Network Medical Center, Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-1543-451X
Jianbo LeiCenter for Medical Informatics, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-1744-0235

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo achieve universal access to medical resources, China introduced its second health care reform in 2010, with health information technologies (HIT) as an important technical support point.

objectiveThis study is the first attempt to explore the unique contributions and characteristics of HIT development in Chinese hospitals from the three major aspects of hospital HIT-human resources, funding, and materials-in an all-around, multi-angled, and time-longitudinal manner, so as to serve as a reference for decision makers in China and the rest of the world when formulating HIT development strategies.

methodsA longitudinal research method is used to analyze the results of the CHIMA Annual Survey of Hospital Information System in China carried out by a Chinese national industrial association, CHIMA, from 2007 to 2018. The development characteristics of human resources, funding, and materials of HIT in China for the past 12 years are summarized. The Bass model is used to fit and predict the popularization trend of EMR in Chinese hospitals from 2007 to 2020.

resultsFrom 2007 to 2018, the CHIMA Annual Survey interviewed 10,954 hospital CIOs across 32 administrative regions in Mainland China. Compared with 2007, as of 2018, in terms of human resources, the average full time equivalent (FTE) count in each hospital's IT center is still lower than the average level of US counterparts in 2014 (9.66 FTEs vs. 34 FTEs). The proportion of CIOs with a master's degree or above was 25.61%, showing an increase of 18.51%, among which those with computer-related backgrounds accounted for 64.75%, however, those with a medical informatics background only accounted for 3.67%. In terms of funding, the sampled hospitals' annual HIT investment increased from ¥957,700 (US $136,874) to ¥6.376 million (US $911,261), and the average investment per bed increased from ¥4,600 (US $658) to ¥8,100 (US $1158). In terms of information system construction, as of 2018, the average EMR implementation rate of the sampled hospitals exceeded the average level of their US counterparts in 2015 and their German counterparts in 2017 (85.26% vs. 83.8% vs. 68.4%, respectively). The results of the Bass prediction model show that Chinese hospitals will likely reach an adoption rate of 91.4% by 2020 (R

conclusionsIn more than 10 years, based on this top-down approach, China's medical care industry has accepted government instructions and implemented the unified model planned by administrative intervention. With only about one-fifth of the required funding, and about one-fourth of the required human resources per hospital as compared to the US HITECH project, China's EMR coverage in 2018 exceeded the average level of its US counterparts in 2015 and German counterparts in 2017. This experience deserves further study and analysis by other countries.

Indexed as

Chinahealth care reformhealth information technologieshospitalsmedical informatics

Identifiers

PMID32039815
PMCPMC7055786

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.